A quantitative performance study of two automatic methods for the diagnosis of ovarian cancer-Reference-Cited by-同舟云学术

A quantitative performance study of two automatic methods for the diagnosis of ovarian cancer

Published:2018-09 Issue: Volume:46 Page:86-93
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Vázquez Manuel A.,Mariño Inés P.,Blyuss Oleg,Ryan Andy,Gentry-Maharaj Aleksandra,Kalsi Jatinderpal,Manchanda Ranjit,Jacobs Ian,Menon Usha,Zaikin Alexey

Funder

Cancer Research UK and the Eve Appeal Gynaecological Cancer Research Fund

National Institute for Health Research (NIHR) University College London Hospitals (UCLH) Biomedical Research Centre

Spanish Ministry of Economy and Competitiveness

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing

Reference35 articles.

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4. Comparison of longitudinal CA125 algorithms as a first line screen for ovarian cancer in the general population;Blyuss;Clin. Cancer Res.,2018

5. Change-point of multiple biomarkers in women with ovarian cancer;Mariño;Biomed. Signal Proc. and Control,2017

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